The most accurate Vessel & Engine Performance Assessment Application
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The most accurate Vessel & Engine Performance Assessment Application
Who we are
At Propulsion Analytics we specialize in
Performance Management Solutions
for the maritime industry.
We use thermo–fluid dynamic Simulation models,
Data analytics & Machine learning techniques to provide:
Engine
Performance
Assessment & Engine Hyper Cube®
Fault Diagnosis
Vessel
Performance QUAD
Assessment
Vessel & Engine
Performance VesselQUAD®
Evaluation
Accurate vessel performance is essen- In VesselQUAD® the vessel perfor-
tial for continuous up-to-date Fuel Oil mance evaluation is accomplished
Consumption (FOC) prediction, im- through a combination of propulsion
proved, fact-based hull and propeller engine Thermodynamics, plus Analytics
cleaning decisions and any assessment (Machine Learning-ML) on continuous
of hull/propeller adaptations. recordings of vessel data, from any
third-party onboard data acquisition
Propulsion Analytics has developed and system.
introduces a novel “inside-out” meth-
odology for the most accurate vessel & The inclusion of engine thermo-
engine performance evaluation. dynamics is necessary in order to en-
“Inside-out” refers to the fundamental sure that the analytics algorithms are
process in ship operation of the conver- fed with highest quality data attained
sion of money into vessel speed. through consecutive filtering, validation
and enrichment of recorded data. This
also leads to increased accuracy (>97%)
which allows the determination of
small changes in FOC (error
VesselQUAD® validates and augments The purified and enriched datasets are
several important but tricky to measure subsequently scanned in the QUAD
parameters such as Torque, Power, FOC vessel performance application using
by high fidelity calculated values pro- analytics algorithms and Machine
duced by the propulsion engine digital- Learning techniques, to extract behav-
twin application Engine Hyper Cube®, ior patterns in vessel speed/FOC, de-
which also detects any possible engine duce profiles in vessel operation and
faults / underperformance. accurately determine the FOC gradual
increase over time and the FOC chang-
es resulting from cleaning or other
events.
The VesselQUAD® application
integrating QUAD with Engine Hyper Cube®
can cover with authority, in one package,
the Vessel & Engine
Performance Evaluation
needs of a shipping company.
PROPELLER/HULL
FOULING DISSECTION
The assessment of the relative contribu- VesselQUAD®, the most accurate Vessel
tion from propeller and hull to the overall and Engine Performance Assessment Ap-
fouling penalty is required primarily for plication, uses thermodynamics on the
decision support in cleaning actions. propulsion engine in order to validate and
supplement torque and FOC measure-
As the fouling is a slow developing phe- ments. This, combined with Machine
nomenon, the fouling related FOC in- Learning, evaluates the evolution of foul-
crease cannot be detected ing penalty over time, & the effectiveness
by conventional methods. of each cleaning action.
The detailed analysis leads to charting of power demand increase over time:
The analytics algorithms use the data recordings from the periods shortly before or
after a major event as “training” to create a reference and then scrutinize the power
demand for each subsequent sailing condition.
The algorithms remove the effects of weather conditions and vessel attitude and extri-
cate the pattern of the slow developing overconsumption due to fouling over time.
The slope between events signifies the rate of fouling increase. After a period of time
VesselQUAD® will amass sufficient data to also stratify and reveal accurately the effects
of composite cleaning events.
EVALUATION OF CLEANING
ENERGY SAVINGS EVENT EVALUATION
Cleaning events are characterized by
several items such as:
▪Type (propeller cleaning, combination
propeller/hull, hull portions)
▪Technique (type of brushes, usage)
▪Contractor
▪Location
▪Cost, etc.
Meta-data on the cleaning event char-
acteristics, allows further profiling and
The evaluation of vessel retrofits for evaluation of different geolocation,
propulsion system optimization, such contractors and techniques.
as propeller ducts, fins, bulbs influenc- The cleaning event evaluation and re-
ing the torque to thrust conversion, as lated KPI in the VesselQUAD®, involves
well as various hull resistance reduc- comparison of FOC before/after. It has
tion measures, is an intricate task due been found that propeller cleaning
to the complex interaction of many pa- events usually result in approximately
rameters. 1.5-3% improvement in FOC. Such a
The Propulsion Analytics “inside-out” comparison is only possible with accu-
methodology in the VesselQUAD® ap- racies >97% in prediction (
SPEED/FOC TABLES TRIM/FOC TABLES
To achieve the requisite accuracy in The raw data from the vessel, after
FOC estimation, a combination of cleaning, verification and enrichment
techniques is used in the QUAD appli- are available in a data repository in
cation, involving thermodynamics, the VesselQUAD® application, as a
statistical analysis and corrections for multitude of sample sets, each sample
fuel and operational issues. set obtained at a respective time in-
stant and containing measurements
In the VesselQUAD® application once (elements) from respective sensors
the raw data has been cleaned and (Draft, STW, Power, etc.).
verified, data mining is employed to
establish speed/FOC relations for any Subsequently, using data mining tech-
specific hull condition and weather niques, the relations of various pa-
state, also considering any engine un- rameters of interest can be extracted,
derperformance. based on actual measured ship data.
In such a way the FOC/speed tables It is then possible to construct related
can be produced with authority, to be Tables and a procedure to advise on
further used as needed by the ship- Trim so as to minimize Power (FOC)
ping company. for a certain ship attitude and condi-
tions.
CO2 EMISSIONS INTENSITY
DURING OPERATION
The fusion of engine and vessel perfor- The engine performance facility Engine
mance assessment in VesselQUAD®, Hyper Cube®, can provide at any in-
provides the requisite data quality to stant, for any fuel, thermodynamically
allow for the detection of even small correct values of:
changes in performance, resulting in ▪Fuel consumption
the most accurate evaluation. ▪CO2 emissions
The VesselQUAD® application, when The vessel performance facility QUAD
linked to an onboard data-acquisition can provide :
system, can accurately calculate the ac-
▪ Actual Deadweight (or cargo load) for
tual GHG emissions intensity of a voy-
a certain voyage.
age using real operating data. A voyage
should be considered from the dis- ▪ Distance travelled per time-interval
charge of the previous cargo to the dis- using log (STW) and GPS (SOG) speed.
charge of the present cargo. The car- ▪ CO2/speed projections for a specific
bon intensity evaluation requires the hull condition and any intended voy-
calculation of CO2 emissions for a spe- age, cargo loading, weather (for clean
cific transport work. & fouled vessel).
To assess the climate alignment of a
single voyage of a vessel, the voyage
carbon intensity can subsequently be
compared with the decarbonization
trajectory for its respective ship type
and class. Supplemental comparisons
of CO2 emissions intensity can be made
on sister vessels and across a fleet.
Aggregates of vessel or fleet emissions
intensity over any time period, such as
per day or per year, can be composed.CO2 EMISSIONS REDUCTION
OPTIONS EVALUATION
The VesselQUAD® application can pro- The VesselQUAD® methodology is fu-
vide a true baseline for subsequently ture proof. The engine performance
benchmarking a GHG emission reduc- core is reconfigurable and can account
tion SEEMP plan. for practically any retrofit on the en-
gine, such as derating measures, turbo-
It can provide accurate ex post evalua-
charger upgrades, auto-tuning, eco
tion of any effected measures for emis-
cams and nozzles, but also future hy-
sions reduction, such as engine power
brid thermal/electric arrangements.
limitations or efficiency improvements,
alternative fuels, operational changes, Any vessel effected retrofits, aiming to
such as slow steaming or weather reduce the thermal power demand for
routing, as well as vessel related propulsion, including even futuristic
measures, such as hull friction reduc- measures for creating thrust such as
tion and propeller thrust improve- sails, foils etc., will lead to different be-
ments. havior patterns and will be evidenced
in the incoming monitoring data. This
will be picked up by the analytics
(machine learning) algorithms and then
reflected in the CO2 emissions intensity
calculation.You can also read
